| Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior F Ayed, J Lee, F Caron International Conference on Machine Learning 97, 395-404, 2019 | 10 | 2019 |
| Anomaly detection at scale: The case for deep distributional time series models F Ayed, L Stella, T Januschowski, J Gasthaus International Conference on Service-Oriented Computing, 97-109, 2021 | 9 | 2021 |
| A Good-Turing estimator for feature allocation models F Ayed, M Battiston, F Camerlenghi, S Favaro Electronic Journal of Statistics 13 (2), 3775-3804, 2019 | 9 | 2019 |
| Nonnegative Bayesian nonparametric factor models with completely random measures F Ayed, F Caron Statistics and Computing 31, 1-24, 2021 | 8* | 2021 |
| On consistent and rate optimal estimation of the missing mass M Battiston, F Ayed, F Camerlenghi, S Favaro Annales de l’institut Henri Poincare (B) Probability and Statistics 1 (3), 2020 | 8* | 2020 |
| Regularization in ResNet with Stochastic Depth S Hayou, F Ayed Advances in Neural Information Processing Systems 34, 15464-15474, 2021 | 4 | 2021 |
| Consistent estimation of small masses in feature sampling F Ayed, M Battiston, F Camerlenghi, S Favaro The Journal of Machine Learning Research 22 (1), 250-277, 2021 | 3 | 2021 |
| Data pruning and neural scaling laws: fundamental limitations of score-based algorithms F Ayed, S Hayou arXiv preprint arXiv:2302.06960, 2023 | 1 | 2023 |
| Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility H Lee, F Ayed, P Jung, J Lee, H Yang, F Caron arXiv preprint arXiv:2205.08187, 2022 | 1 | 2022 |
| A Mathematical Framework for the Evaluation of System Expected Utility Not Satis-fied Under Periodic Demand A Maatouk, F Ayed, W Li, H Bao, D Miao, K Lin, X Chen, E Zio the 32nd European Safety and Reliability Conference (ESREL 2022).[Online …, 2022 | 1 | 2022 |
| The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties F Ayed, J Lee, F Caron Bayesian Analysis 1 (1), 1-30, 2022 | 1 | 2022 |
| An information theoretic approach to post randomization methods under differential privacy F Ayed, M Battiston, F Camerlenghi Statistics and Computing 30 (5), 1347-1361, 2020 | 1 | 2020 |
| The curse of (non) convexity: The case of an Optimization-Inspired Data Pruning algorithm F Ayed, S Hayou I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 0 | 1 | |
| Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning F Caron, F Ayed, P Jung, H Lee, J Lee, H Yang arXiv preprint arXiv:2302.01002, 2023 | | 2023 |
| A Framework for the Evaluation of Network Reliability Under Periodic Demand A Maatouk, F Ayed, S Biao, W Li, H Bao, E Zio arXiv preprint arXiv:2301.05589, 2023 | | 2023 |
| Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks F Ayed, A De Domenico, A Garcia-Rodriguez, D Lopez-Perez arXiv preprint arXiv:2302.00623, 2023 | | 2023 |
| A Bayesian Nonparametric Approach to Differentially Private Data F Ayed, M Battiston, G Di Benedetto Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2020 | | 2020 |
| Supplementary Material for Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior F Ayed, J Lee, F Caron | | |
